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21

Electricity

+

Control

SEPTEMBER 2017

curred deviating from the original design. After this

understanding was obtained, the team set out with

the onsite production and maintenance teams to

evaluate all the possible optimisation opportunities.

The teams debated the feasibility of each opportu-

nity and how they’d implement them to maximise

energy and water reduction.

What was found

It was discovered that the Original Equipment

Manufacturer (OEM) specified that the slurry’s

Specific Gravity (SG) should be at 1,5 at a flow-

rate of 3,0 – 3,5 m/s. However, analysis of the cur-

rent operational data showed that the slurry’s SG

was at 1,2 – 1,3 SG and at flowrates of between

3,5 – 4,0 m/s. This showed that the process was

operating differently from the original design and

indicated room for possible saving opportunities.

Throughout the team’s evaluation, it was also

found that the plant was running all the pumps

at low densities and increased speeds so as to

achieve maximum throughput (TPH) irrespective

of the actual material movement. This was done

without prioritising efficiency, resulting in the plant

consuming significantly more energy needed to

produce each ton of HMC. A factor that was also

taken into account when deciding which changes

to implement was that the quality of the HMC is

sometimes negatively affected by the metallurgi-

cal constraints of each system.

How it was solved

The approach taken by the team was incremental.

The system was first restored to the original de-

sign as there were no changes made to the intend-

ed design however the operating parameters had

changed over time. The team discovered that the

specification of the flowrates and SG had changed

– they had potentially drifted over time or changed

due to some challenge experienced in the past but

had never been reverted back after the challenge

had been overcome. After these changes, other ar-

eas of wastage were investigated and eliminated

or reduced as far as possible.

The SG was restored to the original specifica-

tion of 1,5 by first making sure that the feed of

the material to the buffer was sufficient. The solids

<<Author>>

Mbongeni

Ndlangamandla

is Project Engineer

at Ensight Energy

Solutions.

+27 (0) 83 607 5264

dillon.bensusan@ensight.solution

s

www.ensight.solutions

in the bin needed to be maintained at a specific

level to ensure a sufficient buffer for downstream

processing. To address the flowrates which were

higher than specified, the possibility of slowing

down the pump was investigated. Through the

use of a Variable Speed Drive (VSD) the flowrates

could be managed effectively. Energy consump-

tion of the pumps would be significantly reduced

as an added bonus.

The pumps were slowed down to reduce the

flowrate or stopped when not required to run (no

feed). When slowing down the pumps the critical

Carrying Velocity (CV) of the mineral sand need-

ed to be considered as going below the CV can

cause settling and lead to blockages. In order to

achieve this and as a safety measure, when the

feed was off or there was no sand for 20 minutes

the pumps reverted to the critical carrying velocity

to ensure maximum energy saving. If after 20 min-

utes no sand was processed in the plant, some

equipment was even switched off to reduce the

energy consumption further.

An important factor for the team throughout the

evaluation and implementation process was to en-

sure that the changes made did not affect the mines

production output at all. The company’s primary fo-

cus was to implement management of change pro-

jects before capital projects were considered.

Conclusion

This project has achieved savings of 88 395 MWh

of energy which equates to R56 M and water sav-

ings of 3 646 ML from inception to date (May 2014

– May 2017). Furthermore, throughput increased

by 20% and maintenance breakdowns reduced

by 50%. The company remains on site at this

particular mine and, to date, has achieved over

R261 M worth of savings for the company

through its energy saving and optimisation pro-

jects − translating into 164 000 tonnes of green-

house gas emissions saved.

This project has

resulted in R261 M

savings for the

company through

its energy saving

and optimisation

projects −

translating into

164 000 tonnes of

greenhouse gas

emissions saved.